teatime v0.3.1 releases: A Blockchain RPC Attack Framework
Teatime – A Blockchain RPC Attack Framework
Teatime is an RPC attack framework aimed at making it easy to spot misconfigurations in blockchain nodes. It detects a large variety of issues, ranging from information leaks to open accounts, and configuration manipulation.
The goal is to enable tools scanning for vulnerable nodes and minimizing the risk of node-based attacks due to common vulnerabilities. Teatime uses a plugin-based architecture, so extending the library with your own checks is straightforward.
The Architecture of Teatime
There are five components to Teatime that make up its inner workings:
- Scanner: A scanner executes one or more plugins on a given target
- Plugin: Plugins are where the magic happens: They perform the checks and generate issues
- Context: The context object is passed from one scanner to the next and holds report metadata
- Report: The report object inside the context is where Plugins add their issues
- Issue: This basic building block holds data about findings such as title, severity, and much more
The Scanner class is a user’s entry point to Teatime. It takes an IP, port, node type, and a list of Plugin instances to execute on the target. Behind the scenes, it initializes a fresh Context class, which is passed between the plugins to aggregate report data.
In the current implementation, the Scanner class executes the given plugin list sequentially on the target. The list order is equivalent to the execution order. This means that a plugin could provide metadata in a report that another plugin further down the line can use. While this is not recommended because it introduces implicit dependencies, it can certainly be used to build highly customized and complex scanning pipelines.
After the scan is done, the Scanner class attaches the time elapsed for the scan to the report’s metadata.
The Plugin class is a base for all concrete scans of Teatime. A Plugin can execute one or more checks on the given target. To specify your own behaviour, the base Plugin class contains an abstract method _check that can be overridden by the user. This method gets a Context object (hopefully) containing all relevant metadata needed by the plugin.
For RPC interaction specifically, the Plugin class contains a helper method to query RPC endpoints in a robust way and handle connection errors along the way. To prevent Teatime from crashing completely in case of plugin-related errors, it is recommended to raise and reraise a PluginException. This can be caught easily on the top level, e.g. by the routine executing the scanner.
The Context object contains report- and target-related information instructing the Plugin classes. It contains the target, the Report object, node type, and an extra data dictionary for any additional information that e.g. needs to be passed further down the plugin pipeline. Per scan, there is only one Context instance (initialized in the Scanner at the beginning of a scan), which gets shared across Plugin instances as they are executed in the pipeline.
The Report object is essentially a container for Issue objects, along with metadata on the executed scan. It contains a UUID for traceability, the target, a creation timestamp, a list of issues, and a metadata dictionary for any additional information that should be communicated to the user.
The idea of wrapping issues in a report and duplicating information such as the target is that each Report object should be independent. Thinking of developers who might want to pass Teatime report data into a database, or export it as a file, this is a nice property to have, because no additional data apart from the object itself is required.
Furthermore, the Report class contains various helper methods that make serialization and common checks, such as checking for high-severity issues, easier.
This is the lowest-level primitive. The Issue object can be added to a Report instance by using its add_issue method. Each issue contains a UUID for traceability, a title, description, severity, and a raw data field. The latter is meant to contain the raw RPC response. For example, if a scan has detected an information leak, the raw data field can be populated with the actual leaking information text, without cluttering the title or description – thus keeping issues readable and allowing the user to omit large strings when presenting an issue to the user.
Just like the Report class, an Issue object contains various helper methods for easier serialization, as well as determining whether the issue at hand is severe. Wrapping issues into their own object has the advantage of enforcing a standard format across plugins and requiring them to provide information that helps the user make sense of what has been reported.
Copyright (c) 2020, Dominik Muhs